SINS and Dual Odometers Based on Integrated Navigation System

DOI

10.2991/lemcs-15.2015.189How to use a DOI?

Keywords

SINS; Dual Odometers; Integrated Navigation System; Kalman Filter

Abstract

The strapdown inertial navigation system is being broadly applied for land vehicle positioning and navigation because of its complete autonomy. To restrain the positioning error accumulation along with time of SINS more effectively and achieve higher precision of navigation, a method of the dual odometers assisting SINS to obtain more accurate velocity and direction angle information is presented in this paper. Based on the establishment of the error state and observation model of SINS and dual odometers based integrated navigation system, the general and feasible Kalman filtering algorithm is listed correspondingly. The SINS/dual odometers integrated navigation method was validated by a comparison experiment among the single SINS system, SINS/OD integrated navigation system and SINS/dual OD based integrated navigation system, the results of which examines the high performance and indicates the superiority of the proposed method.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shun Zhu
AU  - Xiaonian Wang
AU  - Zhuping Wang
AU  - Jin Zhu
PY  - 2015/07
DA  - 2015/07
TI  - SINS and Dual Odometers Based on Integrated Navigation System
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 957
EP  - 961
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.189
DO  - 10.2991/lemcs-15.2015.189
ID  - Zhu2015/07
ER  -